Evidence map›Paper›PMID 37022517›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

A pan-cancer analysis of RNASEH1, a potential regulator of the tumor microenvironment.

Chen Yi, Jun Yang, Ting Zhang, Shien Xie, Wentao Li, Liu Qin, Dongjuan Chen

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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Circular RNA in cancer.Nature reviews. Cancer · 2024
    Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Chen Yi *Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Jiangxi, 330063, China.
Jun Yang *Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Jiangxi, 330063, China.
Ting ZhangDepartment of Biomedical Engineering, Nanchang Hangkong University, Jiangxi, 330063, China.
Shien XieDepartment of Biomedical Engineering, Nanchang Hangkong University, Jiangxi, 330063, China.
Wentao LiDepartment of Biomedical Engineering, Nanchang Hangkong University, Jiangxi, 330063, China.
Liu QinDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Dongjuan ChenDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China. chendj@alumni.hust.edu.cn.ORCID http://orcid.org/0000-0002-3283-5059
Nanchang Hangkong University · CNHuazhong University of Science and Technology · CN

Funding

Natural Science Foundation of Hubei Province 2019CFB391
6 · The paper itself

Abstract

backgroundRNASEH1 (Ribonuclease H1) encodes an endonuclease that specifically degrades the RNA of RNA-DNA hybrids and acts in DNA replication and repair. Although there are many studies on RNASEH1, the research of RNASEH1 in cancers is still insufficient. Therefore, in order to clarify the physiological mechanism of RNASEH1 in tumor cells, we evaluated the role of RNASEH1 by combining The Cancer Genome Atlas (TCGA) pan-cancer data and Genotype-Tissue Expression (GTEx) normal tissue data.

methodsRNASEH1 expression was analyzed by using RNAseq data from TCGA and the GTEx database. The Human Protein Atlas (HPA), GeneCards and STRING database were used to explore the protein information of RNASEH1. The prognostic value of RNASEH1 was analyzed by using the clinical survival data from TCGA. Differential analysis of RNASEH1 in different cancers was performed by using R package "DESeq2", and enrichment analysis of RNASEH1 was conducted by using R package "clusterProfiler". We downloaded the immune cell infiltration score of TCGA samples from published articles and online databases, and the correlation analysis between immune cell infiltration levels and RNASEH1 expression was performed. Not only that, we further evaluated the association of RNASEH1 with immune activating genes, immunosuppressive genes, chemokines and chemokine receptors. At the end of the article, the differential expression of RNASEH1 in pan-cancer was validated by using GSE54129, GSE40595, GSE90627, GSE106937, GSE145976 and GSE18672, and qRT-PCR was also performed for verification.

findingsRNASEH1 was significantly overexpressed in 19 cancers and the overexpression was closely correlated with poor prognosis. Moreover, the expression of RNASEH1 was significantly correlated with the regulation of the tumor microenvironment. In addition, RNASEH1 expression was closely associated with immune cell infiltration, immune checkpoints, immune activators, immunosuppressive factors, chemokines and chemokine receptors. Finally, RNASEH1 also was closely associated with DNA-related physiological activities and mitochondrial-related physiological activities.

interpretationOur studying suggests that RNASEH1 is a potential cancer biomarker. And RNASEH1 may be able to regulate the tumor microenvironment by regulating the relevant physiological activities of mitochondrial and thereby regulating the occurrence and development of tumors. Thus, it could be used to develop new-targeted drugs of tumor therapy.

Indexed as

NeoplasmsRibonuclease HTumor MicroenvironmentBiomarkers, TumorDNA MethylationGene ExpressionHumansMitochondriaMutationPrognosisSurvival AnalysisBiomarkers, TumorRibonuclease Hribonuclease HIMitochondrialPan-cancerRNASEH1TCGATumor microenvironment

Identifiers

PMID37022517
OpenAlexW4362657186

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.